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Note: Links lead to the DBLP on the Web. Chris Clifton M. Ercan Nergiz , Chris Clifton: Thoughts on k-Anonymization. ICDE Workshops 2006 : 96 Jaideep Vaidya , Chris Clifton: Privacy-Preserving Decision Trees over Vertically Partitioned Data. DBSec 2005 : 139-152 Wei Jiang , Chris Clifton: Privacy-Preserving Distributed k-Anonymity. DBSec 2005 : 166-177 Murat Kantarcioglu , Chris Clifton: Security Issues in Querying Encrypted Data. DBSec 2005 : 325-337 Wei Jiang , Jaideep Vaidya , Zahir Balaporia , Chris Clifton, Brett Banich : Knowledge Discovery from Transportation Network Data. ICDE 2005 : 1061-1072 Jaideep Vaidya , Chris Clifton: Privacy-Preserving Top-K Queries. ICDE 2005 : 545-546 Bhavani M. Thuraisingham , Latifur Khan , Chris Clifton, John A. Maurer , Marion G. Ceruti : Dependable Real-Time Data Mining. ISORC 2005 : 158-165 Jaideep Vaidya , Chris Clifton: Secure set intersection cardinality with application to association rule mining. Journal of Computer Security 13 (4): 593-622 (2005) Xiaodong Lin , Chris Clifton, Michael Y. Zhu : Privacy-preserving clustering with distributed EM mixture modeling. Knowl. Inf. Syst. 8 (1): 68-81 (2005) Mourad Ouzzani , Walid G. Aref , Elisa Bertino , Ann Christine Catlin , Christopher W. Clifton, Wing-Kai Hon , Ahmed K. Elmagarmid , Arif Ghafoor , Susanne E. Hambrusch , Sunil Prabhakar , Jeffrey Scott Vitter , Xiang Zhang : The Indiana Center for Database Systems at Purdue University. SIGMOD Record 34 (2): 53-58 (2005) Chris Clifton, Murat Kantarcioglu , AnHai Doan , Gunther Schadow , Jaideep Vaidya , Ahmed K. Elmagarmid , Dan Suciu : Privacy-preserving data integration and sharing. DMKD 2004 : 19-26 Jaideep Vaidya , Chris Clifton: Privacy-Preserving Outlier Detection. ICDM 2004 : 233-240 Olujide A. Adeniran , Andreas Demosthenous , Chris Clifton, Sam Atungsiri , Randeep Soin : A CMOS low-power ADC for DVB-T and DVB-H systems. ISCAS (1) 2004 : 209-212 Murat Kantarcioglu , Jiashun Jin , Chris Clifton: When do data mining results violate privacy? KDD 2004 : 599-604 Murat Kantarcioglu , Chris Clifton: Privately Computing a Distributed k-nn Classifier. PKDD 2004 : 279-290 Jaideep Vaidya , Chris Clifton: Privacy Preserving Naïve Bayes Classifier for Vertically Partitioned Data. SDM 2004 Jaideep Vaidya , Chris Clifton: Privacy-Preserving Data Mining: Why, How, and When. IEEE Security & Privacy 2 (6): 19-27 (2004) Chris Clifton, Robert Cooley , Jason Rennie : TopCat: Data Mining for Topic Identification in a Text Corpus. IEEE Trans. Knowl. Data Eng. 16 (8): 949-964 (2004) Murat Kantarcioglu , Chris Clifton: Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data. IEEE Trans. Knowl. Data Eng. 16 (9): 1026-1037 (2004) Murat Kantarcioglu , Chris Clifton: Assuring privacy when big brother is watching. DMKD 2003 : 88-93 Jaideep Vaidya , Chris Clifton: Privacy-preserving k -means clustering over vertically partitioned data. KDD 2003 : 206-215 Chris Clifton, Irini Fundulaki , Richard Hull , Bharat Kumar , Daniel F. Lieuwen , Arnaud Sahuguet : Privacy-Enhanced Data Management for Next-Generation e-Commerce. VLDB 2003 : 1147 Jaideep Vaidya , Chris Clifton: Leveraging the "Multi" in secure multi-party computation. WPES 2003 : 53-59 Chris Clifton: Change Detection in Overhead Imagery Using Neural Networks. Appl. Intell. 18 (2): 215-234 (2003) Murat Kantarcioglu , Chris Clifton: Privacy-Preserving Distributed Mining of Association Rules on Horizontally Partitioned Data. DMKD 2002 Jaideep Vaidya , Chris Clifton: Privacy preserving association rule mining in vertically partitioned data. KDD 2002 : 639-644 Chris Clifton, Murat Kantarcioglu , Jaideep Vaidya , Xiaodong Lin , Michael Y. Zhu : Tools for Privacy Preserving Data Mining. SIGKDD Explorations 4 (2): 28-34 (2002) Chris Clifton, John Griffith , Rod Holland : GeoNode: An End-to-End System from Research Components. ICDE Demo Sessions 2001 : 12-14 Bhavani M. Thuraisingham , Chris Clifton, John A. Maurer , Marion G. Ceruti : Real-Time Data Mining of Multimedia Objects. ISORC 2001 : 360-365 Bhavani M. Thuraisingham , Chris Clifton, Amar Gupta , Elisa Bertino , Elena Ferrari : Directions for Web and E-Commerce Applications Security. WETICE 2001 : 200-204 Yücel Saygin , Vassilios S. Verykios , Chris Clifton: Using Unknowns to Prevent Discovery of Association Rules. SIGMOD Record 30 (4): 45-54 (2001) Wen-Syan Li , Chris Clifton: SEMINT: A tool for identifying attribute correspondences in heterogeneous databases using neural networks. Data Knowl. Eng. 33 (1): 49-84 (2000) Chris Clifton: Using Sample Size to Limit Exposure to Data Mining. Journal of Computer Security 8 (4): (2000) Wen-Syan Li , Chris Clifton, Shu-Yao Liu : Database Integration Using Neural Networks: Implementation and Experiences. Knowl. Inf. Syst. 2 (1): 73-96 (2000) Chris Clifton: Protecting Against Data Mining through Samples. DBSec 1999 : 193-207 T. C. Ting , Ming-Yuh Huang , D. Shayne Pitcock , Chris Clifton, Tsau Young Lin : Panel on Intrusion Detection. DBSec 1999 : 227-234 Chris Clifton, Robert Cooley : TopCat: Data Mining for Topic Identification in a Text Corpus. PKDD 1999 : 174-183 Chris Clifton, Rick Steinheiser : Data Mining on Text. COMPSAC 1998 : 630-635 Shalom Tsur , Jeffrey D. Ullman , Serge Abiteboul , Chris Clifton, Rajeev Motwani , Svetlozar Nestorov , Arnon Rosenthal : Query Flocks: A Generalization of Association-Rule Mining. SIGMOD Conference 1998 : 1-12 Peter Scheuermann , Wen-Syan Li , Chris Clifton: Multidatabase Query Processing with Uncertainty in Global Keys and Attribute Values. JASIS 49 (3): 283-301 (1998) Bhavani M. Thuraisingham , Linda Schlipper , Pierangela Samarati , Tsau Young Lin , Sushil Jajodia , Chris Clifton: Security Issues in Data Warehousing and Data Mining: Panel Discussion. DBSec 1997 : 3-16 Chris Clifton, E. Housman , Arnon Rosenthal : Experience with a Combined Approach to Attribute-Matching Across Heterogeneous Databases. DS-7 1997 : 428- Peter Scheuermann , Wen-Syan Li , Chris Clifton: Dynamic Integration and Query Processing with Ranked Role Sets. CoopIS 1996 : 157-166 Chris Clifton, Peter Gemmel , Ed Means , Matt J. Merges , J. D. Tygar : How are We Going to Pay for This? Fee-for-Service in Distributed Systems: Research and Policy Issues (Panel). ICDCS 1995 : 344-348 Chris Clifton, Wen-Syan Li : Classifying Software Components Using Design Characteristics. KBSE 1995 : 139-146 Wen-Syan Li , Chris Clifton: Semint: A System Prototype for Semantic Integration in Heterogeneous Databases. SIGMOD Conference 1995 : 484 Chris Clifton, Hector Garcia-Molina , David Bloom : HyperFile: A Data and Query Model for Documents VLDB J. 4 (1): 45-86 (1995) Wen-Syan Li , Chris Clifton: Semantic Integration in Heterogeneous Databases Using Neural Networks. VLDB 1994 : 1-12 Daniel Barbará , Chris Clifton: Information Brokers: Sharing Knowledge in a Heterogeneous Distributed System. DEXA 1993 : 80-91 Daniel Barbará , Chris Clifton, Fred Douglis , Hector Garcia-Molina , Stephen Johnson , Ben Kao , Sharad Mehrotra , Jens Tellefsen , Rosemary Walsh : The Gold Mailer. ICDE 1993 : 92-99 Wen-Syan Li , Chris Clifton: Using Field Specifications to Determine Attribute Equivalence in Heterogeneous Databases. RIDE-IMS 1993 : 174-177 Hector Garcia-Molina , Robert K. Abbott , Chris Clifton, Carl Staelin , Kenneth Salem : Data Management with Massive Memory: A Summary. PRISMA Workshop 1990 : 63-70 Chris Clifton, Hector Garcia-Molina : Indexing in a Hypertext Database. VLDB 1990 : 36-49 1 [ 2 ] 2 [ 15 ] 3 [ 41 ] 4 [ 44 ] 5 [ 41 ] 6 [ 49 ] 7 [ 49 ] 8 [ 4 ] [ 5 ] 9 [ 24 ] [ 44 ] 10 [ 7 ] 11 [ 44 ] 12 [ 25 ] [ 47 ] 13 [ 17 ] [ 36 ] 14 [ 41 ] 15 [ 43 ] 16 [ 4 ] 17 [ 43 ] [ 44 ] 18 [ 24 ] 19 [ 32 ] 20 [ 1 ] [ 2 ] [ 4 ] [ 7 ] 21 [ 10 ] 22 [ 44 ] 23 [ 26 ] 24 [ 24 ] 25 [ 44 ] 26 [ 26 ] 27 [ 44 ] 28 [ 12 ] 29 [ 18 ] 30 [ 32 ] 31 [ 13 ] 32 [ 49 ] [ 51 ] 33 [ 40 ] 34 [ 4 ] 35 [ 27 ] [ 29 ] [ 34 ] [ 35 ] [ 39 ] [ 40 ] [ 43 ] [ 50 ] 36 [ 4 ] 37 [ 47 ] 38 [ 32 ] 39 [ 3 ] [ 6 ] [ 8 ] [ 9 ] [ 11 ] [ 14 ] [ 20 ] [ 22 ] 40 [ 32 ] 41 [ 13 ] [ 18 ] 42 [ 27 ] [ 45 ] 43 [ 20 ] 44 [ 25 ] [ 47 ] 45 [ 10 ] 46 [ 4 ] 47 [ 10 ] 48 [ 15 ] 49 [ 53 ] 50 [ 15 ] 51 [ 44 ] 52 [ 18 ] 53 [ 44 ] 54 [ 36 ] 55 [ 12 ] [ 15 ] 56 [ 32 ] 57 [ 2 ] 58 [ 13 ] 59 [ 23 ] 60 [ 43 ] 61 [ 11 ] [ 14 ] 62 [ 13 ] 63 [ 41 ] 64 [ 2 ] 65 [ 16 ] 66 [ 43 ] 67 [ 4 ] 68 [ 13 ] [ 24 ] [ 25 ] [ 47 ] 69 [ 18 ] 70 [ 15 ] 71 [ 10 ] 72 [ 15 ] 73 [ 27 ] [ 28 ] [ 31 ] [ 33 ] [ 37 ] [ 38 ] [ 42 ] [ 43 ] [ 46 ] [ 48 ] [ 49 ] [ 52 ] 74 [ 23 ] 75 [ 44 ] 76 [ 4 ] 77 [ 44 ] 78 [ 27 ] [ 45 ]  ©2006 Association for Computing Machinery |
